• Journal of Korean Elementary Science Education
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• v.40 no.4
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• pp.433-442
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• 2021

The purpose of this study is to develop an artificial-intelligence STEAM program for real-time interactive online class for elementary science and to analyze its effect on science academic achievement and creative problem-solving ability. The applied unit was 'Life of plant', a 4th grade science subject with high difficulty in teaching and learning mainly by memorization. The theme of the program is 'Creating a doctor of plant artificial intelligence chatbot'. The results of this study were as follows: The program developed in this study had a positive effect on elementary school students' science academic achievement and creative problem-solving ability. Therefore, the artificial intelligence STEAM program for elementary science interactive online class is effective in improving students' scientific academic achievement and creative problem-solving ability, and further research on artificial intelligence STEAM education theory, method, and practice is required.

• Journal of Arbitration Studies
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• v.30 no.3
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• pp.95-113
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• 2020

The worldwide diffusion of COVID-19 contributes to electronic commerce all over the world. The proliferation of high volume and small value electronic commerce naturally has combined artificial intelligence with online dispute resolution (ODR). This paper investigates the age effect on Artificial Intelligence acceptability in online dispute resolution and its empirical findings are as follows. First, seven measures out of the nine employed in this case study shows a coherent dynamic pattern over the age spectrum. In other words, the total samples are a heterogenous group rather than a homogeneous one. Second, medium answer occupies a non-negligible portion across answers from nine research questions. It seems to indicate that a considerable portion of Korean respondents are hesitant to make a choice on artificial intelligence at this juncture. Third, all of the respondents agree that the introduction of AI to the dispute resolution could contribute to the hastening of the dispute resolution process. Fourth, most of the respondents agree that artificial intelligence might have the cognitive ability but not the sympathetic or affective ability to handle the electronic commerce disputes.

• Korean Journal of Human Ecology
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• v.14 no.3
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• pp.379-386
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• 2005

Bowlby has proposed that child-mother attachment is important in the child's representation of self. In this study, the child's emotional intelligence was examined in connection with child-mother attachment with a sample of 5-year-olds. The quality of attachment was assessed based on the child's behavior on reunion following a separation, using a SSP (Strange Situation Procedure) system devised by Main and Solomon. The emotional intelligence was assessed with Lee's Scale for young children. The results show significant connections between child-mother attachment and the emotional intelligence. Specific areas of emotional intelligence are related to particular patterns of attachment. Namely, securely attached children are assessed significantly higher than the unsecurely attached, not only in the ability to identify and control their own emotions, but also in the ability to control others' emotional state. Also, securely attached children perceive their social competence significantly higher.

• Proceedings of the Korean DIstribution Association Conference
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• 2007.08a
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• pp.127-158
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• 2007

This study discusses salespersons' emotional intelligence, one of the key abilities necessary to meet customers' needs effectively, and express positive emotions in frequent interactions with customer. Emotional intelligence refers to self-controllability and social ability emphasizing pro-social aspect and understanding of others. This study investigates how salespersons' emotional intelligence affects adaptive selling and positive emotional expression during the process of interaction with customers, and how such adaptive selling and positive emotional expression affects the quality of service perceived by customers. The results show that greater salespersons' emotional intelligence results in better adaptive selling and positive emotional expression. Such adaptive selling and positive emotional expression had significant effects on the quality of service perceived by customers. These results are important in that they address emotional intelligence as salespersons' emotional ability, which has been overlooked as an antecedent variable for improving adaptive selling and display of positive emotion, consequently provide another factor to help salespersons improve their selling behavior.

• The Journal of Information Systems
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• v.30 no.3
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• The Journal of Industrial Distribution & Business
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• v.12 no.1
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• pp.31-46
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• 2021

Purpose: The purpose of the study is to analyze the characteristics of emotional intelligence and the variables related to emotional intelligence in a comprehensive manner. In addition, the study intends to present research trends and future research directions of emotional intelligence in a Korean context by analyzing the effects of emotional intelligence and its mechanisms. Research Design, Data, and Methodology: 77 KCI listed studies were selected for the analysis, and the research perspective of emotional intelligence, measurement instruments, empirical research and research methods were analyzed. In addition, research directions were suggested based on the analysis results. Results: The results of the analysis were as follows: First, previous researchers used the ability model of emotional intelligence the most. Second, Previous studies tended to focus on behavioral factors as dependent variables affected by emotional intelligence, in addition to attitudes, affection. Third, there were few studies on the antecedents of emotional intelligence, however, most studies dealt with the consequences of emotional intelligence. Fourth, few studies dealt with moderators between emotional intelligence and dependent variables. Fifth, on the research type, most studies were quantitative studies, however, a few of them were qualitative studies (Literature review, in-depth interview). Sixth, with regard to the analysis level, almost all studies were conducted on the individual level of emotional intelligence, and most studies featured a cross-sectional research design (longitudinal research design was rare). Conclusion: First, from the perspective of emotional intelligence, additional research should be focused on not only the ability model of emotional intelligence but also on the trait model or the mixed model in the future. Second, since emotional intelligence is a multidimensional construct, it is necessary to study the profile of emotional intelligence by employing people-centered as well as variable-centered methods. Third, with regard to empirical studies, additional research is needed with respect to not only the emotional intelligence of the subordinate, but also the emotional intelligence of the supervisor (leader) and the emotional intelligence of the group. Fourth, it is necessary to actively utilize not only cross-sectional design but also longitudinal design, and qualitative research and meta-analysis methods should also be adopted.

• Journal of Korean Elementary Science Education
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• v.40 no.1
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• pp.66-80
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• 2021

This study is a case study that applies plant classification learning using machine learning to fourth graders in elementary school in online learning situations. In this study, a plant classification learning education program associated with 2015 revision science curriculum was developed by applying the Artificial Intelligence biological classification teaching Learning model. The study participants were 31 fourth graders who agreed to participate voluntarily. Plant classification learning using machine learning was applied six hours for three weeks. The results of this study are as follows. First, as a result of image analysis on artificial intelligence, participants were mainly aware of artificial intelligence as mechanical (27%), human (23%) and household goods (23%). Second, an artificial intelligence recognition survey by semantic discrimination found that artificial intelligence was recognized as smart, good, accurate, new, interesting, necessary, and diverse. Third, there was a difference between men and women in perception and emotion of artificial intelligence, and there was no difference in perception of the ability of artificial intelligence. Fourth, plant classification learning using machine learning in this study influenced changes in artificial intelligence perception. Fifth, plant classification learning using machine learning in this study had a positive effect on reasoning ability.

• Journal of Gifted/Talented Education
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• v.24 no.5
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• pp.877-892
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• 2014

This Study was to examine whether high school students' autonomy support and beliefs of intelligence ability influence their self-regulated strategies. Of the 600 high school students surveyed from 3 high schools in two metropolitan cities, Korea, 478 completed and returned the questionnaires yielding a total response rate of 79.7%. Among the final sample consisted of 109 gifted students (22.8%), 190 high-achieving non-gifted students (39.7%), and low-achieving non-gifted students (37.4%). Measures of students' perceived autonomy support (i.e. from parents, teacher, peer), beliefs of intelligence ability (i.e. incremental, entity) and self-regulated strategies (i.e. managing environment and behavior, seeking and learning information, maladaptive regulatory behavior). Spearman's rho(${\rho}$) indicated that students' achieving level was positively associated with autonomy support (i.e. parents, teacher), beliefs of intelligence ability (i.e. incremental) and self-regulated strategies (i.e. managing environment and behavior, seeking and learning information). However, students' achieving level was negatively associated with beliefs of intelligence ability (i.e. entity) and self-regulated strategies (i.e. maladaptive regulatory behavior). Hierarchical multiple regression analyses showed that students' perceived autonomy support (i.e. from teacher) and beliefs of intelligence ability (i.e. incremental) were the crucial contributors for enhancing students' self-regulated strategies. Results are discussed in relation to theoretical implications and school settings.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.243-252
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• 2019

The purpose of this study was to evaluate the effect of emotional intelligence, empathy ability, and calling consciousness of nursing students on happiness. The survey was conducted 217 nursing students attending in G city from September 3th to September 14th, 2018. Data was collected from self-administered questionnaires about happiness, emotional intelligence, empathy ability and calling consciousness. Data were analyzed by SPSS software version 21 using descriptive statistics (frequency) and analytical statistics (t-test, ANOVA, Pearson's correlation coefficient, linear regression). As a result, Happiness was significantly different by gender, grade, satisfaction in major, collegiate-life satisfaction, personal relationship, health status, perceived economic status. Also happiness showed positive correlation with emotional intelligence, empathy ability, and calling consciousness. Multiple regression analysis revealed that the predictors of happiness were grade, collegiate-life satisfaction, health status, empathy ability, calling consciousness, and emotional intelligence accounting for a total of 49.1% of the variance. Results of this study suggest that it is necessary for nursing students to intervention program aimed at enhance the happiness and it would be effective to focus on strengthening emotional intelligence and empathy ability for them.

• The Korean Journal of Health Service Management
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• v.14 no.2
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• pp.41-54
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• 2020

Objectives: The purpose of this study was to identify the influences of nursing professionalism and emotional intelligence on the clinical performance ability of nursing students. Methods: The subjects of this study included 234 nursing students from three universities located in two regions of South Korea. Data were collected from June 15 to 30, 2018 by using self-reported questionnaires. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficients, and stepwise multiple regression analysis using the IBM SPSS 21.0 program. Results: The factors which influenced the clinical performance ability in nursing students were self-concept of the profession(β=.28, p<.001), roles of nursing service (β=.22, p<.001), use of emotion (β=.22, p<.001), self-emotional appraisal (β=.18, p=.002), regulation of emotion (β=.16, p=.004), and grade (β=.16, p=.002) which explained 51.7% of the variance. Conclusions: These results suggest that to improve clinical performance ability in nursing students, an intervention that enhances their nursing professionalism and emotional intelligence should be considered.